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https://doi.org/10.1007/s00291-008-0124-9

has been cited by the following article:

• TITLE: Global Optimization of a Semiconductor IC Supply Chain Network

  AUTHORS: Adar A. Kalir, Dean I. Grosbard

  KEYWORDS: Supply Chain Management, Optimization, Network Based Manufacturing, Non-Linear Programming, Quadratic Programming

  JOURNAL NAME: Journal of Service Science and Management, Vol.10 No.3, June 27, 2017

  ABSTRACT: In this paper we develop a framework for the semiconductor manufacturing process, including front-end (fab) operations and backend (assembly/test) operations. We then propose a Quadratic Programming (QP) formulation for the profit maximizing objective with flexible demand and price ranges (per product) and fab capacities. We demonstrate the model by applying it to a case study that is based on a real-world (distorted) dataset and show how the solution varies between a local optimization of a single fab (for minimum wafer cost) and a globally optimal solution for maximum profit of a network of fabs.